To elaborate our model we removed uncertain localities such as those localities with no coordinates and all records with coordinates laying down in sites with estimated elevations below 1,615 m and above 3,400 m. Also one record in BioMap from Valle del Cauca, which represents corrupted information in the database was deleted.
The habitat suitability model generated in Maxent showed a very few areas suitable in climatic terms for this species along the Western and Central Andes. Those areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 8,258 km2, which corresponds to a loss of 77 % of its potential original distribution due to deforestation. Possibly this value is slightly overestimated since some areas of its distribution include paramo.
This near-endemic species has been catalogued by BirdLife International (2016) as Near Threatened (NT) because it is believed it has a moderately small range that has shrunk due to habitat loss. It extent of occurrence has been estimated in 42,900 km2 (BirdLife International 2016). Our maps suggest its extent of occurrence just in Colombia is about 35,400 km2. However, forested areas have been severely degraded in is potential original geographical distribution as our analyses suggest. Giving that the species uses border and secondary habitats possibly its populations have not been greatly affected.
Regularized training gain is 3.283, training AUC is 0.989, unregularized training gain is 3.518.
Algorithm converged after 1400 iterations (42 seconds).
The follow settings were used during the run:
101 presence records used for training.
10100 points used to determine the Maxent distribution (background points and presence points).
Environmental layers used (all continuous): bio10co bio11co bio12co bio13co bio14co bio15co bio16co bio17co bio18co bio19co bio1co bio2co bio3co bio4co bio5co bio6co bio7co bio8co bio9co
Regularization values: linear/quadratic/product: 0.050, categorical: 0.250, threshold: 1.000, hinge: 0.500
Feature types used: hinge product linear threshold quadratic
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.040-0.038-Fractional predicted area
0.040-0.040-Training omission rate